The freelance photographer behind the viral image, Ahmeed al-Arini, gathered the image for Turkish media outlet Anadolu Agency. It was then distributed to media organisations via the reputable photo wire service, Getty Images.
A malnourished toddler sits in his mother’s lap in a tent with his mouth agape

The pictures were taken by freelance photographer Ahmeed al-Arini. (Getty Images: Ahmed Jihad Ibrahim Al-arini/Anadolu)

Ahmeed al-Arini explained to the BBC how he came across the boy and his family.

"He was with his mother in a tent, which is absolutely bare, bar a little oven. It resembles a tomb, really. And I took this photo because I wanted to show the rest of the world extreme hunger that babies and children are suffering from in the Gaza Strip," he said.

"He'd received no baby milk, no formula, no vitamins either."

Anadolu Agency also published an interview with Muhammad's doctor, Suzan Mohammed Marouf, a nutrition specialist at The Patient's Friends Benevolent Society Hospital (PFBS) in Gaza.

Dr Marouf said the child was brought to the hospital a month ago and diagnosed with moderate malnutrition on top of congenital health problems and muscle atrophy.

"The medical issues he had weren't significantly affecting his weight," Dr Marouf told the news organisation.

"But once the siege and the closure of crossings depleted hospitals' medicine stocks and nutritional supplements, Mohammad's condition deteriorated to acute malnutrition," she added.

ABC has also contacted Anadolu Agency, which has said Muhammad's mother has confirmed he has previous health complications, and she has also provided past photos of her son before his deterioration, which she says was from a shortage of food and milk.

a solid, well-executed paper with a clean idea and good ablations, but limited in ambition by the small scale and synthetic-heavy evaluation. The core insight — that gradient-based memory writing with meta-learned initialization beats forward-only writing — is believable and likely to hold at larger scale, though the computational tradeoff gets harder.

This isn’t cowardice. It’s a calculation: If allied leaders thought that their sacrifice might count for something in Washington, they might choose differently. But most of them have stopped trying to find the hidden logic behind Trump’s actions, and they understand that any contribution they make will count for nothing. A few days or weeks later, Trump will not even remember that it happened.

An insider says Trump “grossly overestimated” his own abilities in the conflict.

Meanwhile, management leans on programmers to heavily use AI tools, with employees previously telling the FT that the company set a target for 80 percent of developers to use AI for coding tasks at least once a week.

In sum: more coding with more AI with more human oversight, but fewer humans. We’ll see how that works out.

boots on the ground

Although AMI Labs has no plans to generate revenue for the time being, it still plans to engage with prospective customers early on

Experiments across diverse backbone models, retrieval-based methods, and memory systems demonstrate that cognitive memory remains challenging and reveals failures not captured by existing benchmarks.

Having generation and verification co-evolve on the same online rollouts is the fix, and the ablation (Figure 11) shows it matters — co-evolving consistently beats non-co-evolving by 4–6%.

Instead, he says, business leaders should prioritize creating a culture in which their employees feel empowered to experiment with vibe coding and share their best creations. “Seeing is believing,” says Schluntz, “and I think getting non-developers in every company to use these tools to bring their ideas to life is one of the most powerful things.”

According to Anthropic researcher Eric Schluntz, vibe coding makes it so that “people are limited only by their creativity, not by the skills that they have.” Think about Apple in the 1970s; Steve Jobs was the big ideas guy, and Steve Wozniak was the technical genius who translated Jobs’ ideas into a working product. Vibe coding essentially gives everyone their own personal Woz. “If you have an image of something in your mind, you can go create it,” adds Schluntz.

TypeScript agent frameworks felt like toys. Single-threaded event loops trying to juggle concurrent agents with promises and prayer. Python agents did a little better, but after a long time they couldn’t stay up. The BEAM was built for exactly this kind of work.

Russia is providing Iran with targeting information to attack American forces in the Middle East, the first indication that another major U.S. adversary is participating — even indirectly — in the war, according to three officials familiar with the intelligence.

While SFT distillation meaningfully improves overall performance over the base model, the gap between the two approaches is most apparent when combined with test-time compute. On in-distribution tasks, SFT benefits substantially from parallel sampling (69.1 → 75.3), yet on out-of-distribution tasks the gains are negligible (59.4 → 59.6). This suggests that distillation teaches the model to imitate task-specific expert behavior, which scales well within the training distribution but fails to generalize beyond it. In contrast, KARL benefits from test-time compute both in- and out-of-distribution, indicating that RL develops more general search capabilities rather than task-specific heuristic